35811 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 35811 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 12,850, 100% | 1,983,227 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,808, 84.11%, see rank | 85.31% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,389, 10.81%, see rank | 9.38% | 9.59% |
| Public Transportation | 42, 0.33%, see rank | 0.45% | 5.06% |
| Walked | 80, 0.62%, see rank | 1.14% | 2.78% |
| Other Means | 114, 0.89%, see rank | 1.02% | 1.79% |
| Worked at Home | 417, 3.25%, see rank | 2.69% | 4.37% |
Mean Travel Time to Work, see rank| 35811 Zip Code | 20.8 minutes |
| Alabama | 24.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 35811 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 11,944, 100% | 1,988,366 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,457, 87.55%, see rank | 84.27% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,032, 8.64%, see rank | 10.47% | 10.03% |
| Public Transportation | 11, 0.09%, see rank | 0.44% | 4.98% |
| Walked | 101, 0.85%, see rank | 1.19% | 2.82% |
| Other Means | 29, 0.24%, see rank | 1.03% | 1.76% |
| Worked at Home | 314, 2.63%, see rank | 2.59% | 4.27% |
Mean Travel Time to Work, see rank| 35811 Zip Code | 20.7 minutes |
| Alabama | 23.9 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 35811 Zip Code | Alabama | U.S. |
| Workers 16 Years and Over | 11,143, 100% | 1,900,089 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,284, 83.32%, see rank | 82.99% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,374, 12.33%, see rank | 12.32% | 12.19% |
| Public Transportation | 15, 0.13%, see rank | 0.50% | 4.73% |
| Walked | 67, 0.60%, see rank | 1.33% | 2.93% |
| Other Means | 108, 0.97%, see rank | 0.79% | 1.19% |
| Worked at Home | 295, 2.65%, see rank | 2.07% | 3.26% |
Mean Travel Time to Work, see rank| 35811 Zip Code | 21.3 minutes |
| Alabama | 23.9 minutes |
| U.S. | 25.1 minutes |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.
